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Python Data Visualization Cookbook (Second Edition)

You're reading from   Python Data Visualization Cookbook (Second Edition) Visualize data using Python's most popular libraries

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784396695
Length 302 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Preparing Your Working Environment FREE CHAPTER 2. Knowing Your Data 3. Drawing Your First Plots and Customizing Them 4. More Plots and Customizations 5. Making 3D Visualizations 6. Plotting Charts with Images and Maps 7. Using the Right Plots to Understand Data 8. More on matplotlib Gems 9. Visualizations on the Clouds with Plot.ly Index

Drawing barbs


A barb is a representation of the speed and direction of wind, and is mainly deployed by meteorology scientists. In theory, they can be used to visualize any type of two-dimensional vector quantities. They are similar to arrows (quivers), but the difference is that arrows represent vector magnitude by the length of the arrow, while barbs give more information about the vector's magnitude by employing lines or triangles as increments of magnitude.

We will explain what barbs are, how to read them, and how to visualize them using Python and matplotlib. Here's a typical set of barbs:

In the preceding diagram, the triangle, also known as flag, represents the largest increment.

A full line or barb represents a smaller increment; a half line is the smallest increment.

The increments are in the order of 5, 10, and 65 for a half-line, line, and triangle, respectively. The values here represent, for meteorologists at least, wind speed in nautical miles per hour (knots).

We ordered the barbs...

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